CVE-2025-7346 - pyLoad is vulnerable to attacks that bypass localhost restrictions, enabling the creation of arbitrary packages
CVE-2025-7346 + pyLoad is vulnerable to attacks that bypass localhost restrictions, enabling the creation of arbitrary packages + High + 2025-07-08
One-sentence business risk
Broken authentication or authorization can expose tenant data and administrator actions, which buyers treat as a release blocker.
Research notes
- Root cause: ### Summary Any unauthenticated attacker can bypass the localhost restrictions posed by the application and utilize this to create arbitrary packages.
- Affected versions: pip:pyload-ng <= 0.5.0b3.dev88.
- Fixed / safe versions: Vendor-fixed release.
- Public exploit / PoC signal: the consulted NVD/GHSA/vendor sources describe the trigger class; treat it as reproducible until patched.
- CVSS: use upstream advisory score .
Exact vulnerable code pattern
update_or_read(request.body.target_id) # no owner/role check
Fixed / mitigated code pattern
target = load_owned_resource(actor, target_id); require_role(actor, target, "admin")
Dependency or runtime update:
python -m pip show pyload-ng || true
python -m pip install -U pyload-ng
python -m pip check
Step-by-step integration guide
- Inventory
pyload-ngacross source, lockfiles, SBOMs, container images, CI images, and deployment manifests. - Upgrade to
Vendor-fixed releaseor apply the exact vendor patch referenced below. - Replace the vulnerable
authzpattern with the fixed pattern and fail closed on malformed input. - Add a regression test that exercises the advisory trigger and proves the request is rejected, bounded, or authorized.
- Deploy through canary, monitor security logs and resource metrics, then remove temporary edge blocks only after all runtimes are fixed.
Alternative mitigations
- Disable the vulnerable feature path while the package/runtime update rolls out.
- Add WAF or reverse-proxy rules for traversal tokens, prototype-polluting keys, oversized frames, shell metacharacters, or unauthenticated tool calls matching the trigger class.
- Restrict internal egress, rotate exposed secrets, and revoke affected tokens/keys if the vulnerability can disclose config, logs, JWT secrets, proxy credentials, or PKI material.
- For admin/API authorization issues, temporarily require elevated roles and explicit ownership checks at the gateway.
Detection signature
id: cve-2025-7346-pyload-is-vulnerable-to-attacks-that-bypass-loca
source: GitHub Advisory Database
dependency_or_product: "pyload-ng"
affected: "pip:pyload-ng <= 0.5.0b3.dev88"
fixed: "Vendor-fixed release"
signals:
- "authz"
- "../"
- "__proto__"
- "tools/call"
- "wp_ajax_nopriv"
- "pickle.loads"
- "shell command construction"
action: "upgrade, add regression test, and verify deploy artifact"
Copy-paste skill
You are remediating CVE-2025-7346 (pyLoad is vulnerable to attacks that bypass localhost restrictions, enabling the creation of arbitrary packages) in this repository.
Find every affected dependency, runtime, image, service configuration, and reachable code path. Upgrade or patch to Vendor-fixed release. Replace the vulnerable authz pattern with a fail-closed implementation, add a regression test for the trigger shape, and update deployment/SBOM artifacts. If this repository does not control the affected runtime, create TRIAGE.md naming the owner, affected version, fixed version, and blocking decision.
Keywords, affected tech stack, and revenue tags
- Keywords:
CVE-2025-7346,authz,pyload-ng,GitHub Advisory Database. - Affected tech stack:
python/pip. - Revenue tags:
sellable_to_fintech,enterprise_blocker,high_priority_sla.
References
- https://github.com/advisories/GHSA-x698-5hjm-w2m5
- https://github.com/pyload/pyload/blob/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d/src/pyload/webui/app/blueprints/cnl_blueprint.py#L21-L36
- https://github.com/pyload/pyload/blob/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d/src/pyload/webui/app/blueprints/cnl_blueprint.py#L56-L58C11
- https://github.com/pyload/pyload/commit/f4e2d12416ba2dfac7b036d5c8d6dab5461b9840
- https://github.com/pyload/pyload/security/advisories/GHSA-x698-5hjm-w2m5
- https://nvd.nist.gov/vuln/detail/CVE-2025-7346